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medical-bidirectional-machine-translation-checkpoints-68138
ndhieu1101/medical-bidirectional-machine-translation-checkpoints-68138
medical-bidirectional-machine-translation-checkpoints-68138 is a machine learning model from ndhieu1101. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- t5
- Access
- Public
- Created
- Sep 20, 2026
- Updated
- Sep 20, 2026
- SHA
- 36b3901a
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
medical-bidirectional-machine-translation-checkpoints-68138
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.5705
- Bleu: 43.0721
- Meteor: 0.6675
- Ter: 48.8645
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 3
- mixed_precision_training: Native AMP
- label_smoothing_factor: 0.1
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Meteor | Ter |
|---|---|---|---|---|---|---|
| 2.5866 | 2.3475 | 5000 | 2.5705 | 43.0721 | 0.6675 | 48.8645 |
Framework versions
- Transformers 4.57.6
- Pytorch 2.10.0+cu128
- Datasets 5.0.0
- Tokenizers 0.22.2
- Library
- transformers
- Type
- t5
- Created
- Sep 20, 2026
- Updated
- Sep 20, 2026